Investor Leads

Anyone treating this as a last-ditch effort to save a pipeline that's already broken. Anyone who can't deploy the minimum budget. Anyone whose comp is under 2.0 points per loan, because the math won't support the acquisition cost. And anyone who doesn't have a contact sequence and operational follow-up in place. More leads into a broken system just produce bigger losses faster.

Most lead sources run a shared consent model. The same borrower is sold to several lenders at once, and you end up competing for someone who didn't know their information was being resold. My system is built on first-party data and one-to-one consent. Each lead goes to you alone, under your brand, from a first-party audience of 228,000 real estate investors.

The full non-QM, hard money, and private lending stack. DSCR, both long-term and short-term rental. Bridge loans. Fix and flip. Ground-up construction. Hard money. Investor refi. Bank statement. Asset utilization. 1099. Interest only. Multi-family 2 to 8 unit. Foreign national. Closed-end seconds. Commercial. If you're lending to real estate investors, there's a campaign structure for it.

Yes. And this is one of the most underserved and overlooked segments in the entire lending ad space. Almost nobody is running serious paid acquisition for wholesale and TPO channels in non-QM and private lending. The brokers and correspondent partners are out there, they're active, and they're being ignored by every major lead gen provider. I build dedicated campaigns targeting broker networks, TPO channels, and correspondent relationships, with the same first-party data infrastructure and first click deterrence approach used on the retail side. If you have a wholesale or TPO division and you're not running paid acquisition for it, you are leaving a significant amount of production on the table.

Across 5,185 leads from 13 client accounts, April 2025 to July 2026: 82.0% reported 660+ credit, 94.4% were investment property, 58.5% requested $250K or more, and 46.0% reported $50K or more in liquidity. Intent mix: 49.4% purchase, 26.5% cash-out, 24.1% refinance. Every lead includes a credit range, a liquidity range, the full property address, and contact information. Credit and liquidity are self-reported. Data as of July 28, 2026. I'll pull the lead-level data on the call.

The structure is a one-time implementation fee to build the campaigns, Google Apps Script lead capture systems, and first-party targeting. There is no mandatory monthly retainer. Ongoing management is optional and can be structured around performance, relationship stewardship, and funded production. You own the ad account, data, pixels, consent records, and capture systems from day one.

Across active clients the average is 14x. At $8,500 a month in spend, that is 7 funded units per loan officer per month at a $569K average closed loan and 3.05 points (305 bps) in comp, or about $121K in monthly revenue per loan officer. These are client averages, portfolio-wide, not a promise, and results vary. I'll show you the account data on the call.

Leads start arriving once the campaigns go live. From there, funded production depends on your ability to collect loan applications, process them, and move toward closing. Depending on the product, that cycle runs 20 to 30 days. You will often issue pre-qualification letters well before a deal closes. Those are lines in the water. The pipeline builds fast. The closings follow your operations, not the traffic.

Scaling is a math problem, not a confidence problem. You need three numbers locked in before you increase budget: cost per lead, cost per loan application, and cost per funded deal. Once those are stable and within par (portfolio-wide, about $55 per lead, about $680 per application, and about $1,200 per funded deal), scaling becomes a matter of sustaining operations while removing the emotional resistance to higher ad spend. Most high-performing individual loan officers top out around $15,000 a month in spend. Most lenders running team operations land in the $30,000 to $60,000 a month range. The ceiling is determined by your operational capacity, not the platform.

Yes. That's a non-negotiable part of how I build. Your ad account, your pixels, your first-party data, your consent records, your capture systems. Nothing lives in a proprietary platform that disappears when we stop working together. The infrastructure compounds after we're done. That's the point.

Most aggregators run shared consent: one form fill, several buyers. A lot of them push the compliance risk downstream to you through indemnification clauses in their contracts. I build on one-to-one consent instead. Every lead consents to one lender: you. The lenders winning right now stopped renting someone else's audience and started building their own. That's what this system does.

I run a short qualification check first: your production history, product focus, comp structure, and how your operations run. If there's clear misalignment, I'll tell you directly and explain why. If you're a fit, we walk through the actual lead data in a spreadsheet, review how the campaigns are structured, and talk through the economics for your product and market. At the end I introduce you to references: real clients who will give you direct feedback. Then you decide.

Yes. After the qualifying call confirms mutual fit, I make direct introductions. Names, emails, and phone numbers. These are active lenders and loan officers who will tell you exactly what working with me is like, including what didn't go perfectly. I have no interest in closing clients who aren't a genuine fit for the program.

Because I've seen exactly how this fails when the wrong operator is in the seat. Weak contact rates, no follow-up discipline, comp that can't support acquisition cost, ops that break under volume. Scaling traffic into that environment just produces bigger, faster losses. I take on a small number of clients at a time and I stay close to every account. That only works if the clients qualify.

Because this is a statistics game. Every dollar buys exposure, and exposure turns into loans through a chain: impressions, clicks, form fills, conversations, applications, funded deals. Each step converts at a rate you don't control. Below $8,500 a month there isn't enough volume moving through that chain to produce reliable data. You end up deciding on thin samples, cutting campaigns that would have worked and scaling ones that won't. Then the math breaks and the leads get the blame. The $8,500 floor is not arbitrary. It is the point where you have enough volume to measure what's happening and decide where to scale. Below it, you are not running a demand generation program. You are running an experiment with your own money.